%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : MGT037+1 : TPTP v9.3.0. Released v2.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n006.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8046.5625MB
% OS : Linux 6.8.0-71-generic
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Tue Sep 8 06:10:44 AM UTC 2026
% Result : Theorem 0.20s 0.50s
% Output : CNFRefutation 0.20s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.03 % Problem : MGT037+1 : TPTP v9.3.0. Released v2.0.0.
% 0.00/0.04 % Command : gkc %s
% 0.08/0.35 % Computer : n006.cluster.edu
% 0.08/0.35 % Model : x86_64 x86_64
% 0.08/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.08/0.35 % Memory : 8046.5625MB
% 0.08/0.35 % OS : Linux 6.8.0-71-generic
% 0.08/0.35 % CPULimit : 300
% 0.08/0.35 % WCLimit : 300
% 0.08/0.35 % DateTime : Mon Sep 7 12:43:01 UTC 2026
% 0.13/0.36 % CPUTime :
% 0.13/0.42
% 0.13/0.42 input clause set summed statistics:
% 0.13/0.42 ----------------------------------
% 0.13/0.42 in_clause_count: 27
% 0.13/0.42 in_rule_clause_count: 25
% 0.13/0.42 in_fact_clause_count: 2
% 0.13/0.42 in_answer_clause_count: 0
% 0.13/0.42 in_ground_clause_count: 5
% 0.13/0.42 in_unit_clause_count: 5
% 0.13/0.42 in_horn_clause_count: 21
% 0.13/0.42 in_pos_clause_count: 4
% 0.13/0.42 in_neg_clause_count: 4
% 0.13/0.42 in_poseq_clause_count: 4
% 0.13/0.42 in_negeq_clause_count: 6
% 0.13/0.42 in_unitposeq_clause_count: 0
% 0.13/0.42 in_chain_clause_count: 0
% 0.13/0.42 in_min_length: 1
% 0.13/0.42 in_max_length: 5
% 0.13/0.42 in_min_depth: 1
% 0.13/0.42 in_max_depth: 3
% 0.13/0.42 in_min_size: 2
% 0.13/0.42 in_max_size: 20
% 0.13/0.42 in_min_vars: 0
% 0.13/0.42 in_max_vars: 4
% 0.13/0.42 in_extaxiom_count: 0
% 0.13/0.42 in_axiom_count: 15
% 0.13/0.42 in_assumption_count: 8
% 0.13/0.42 in_goal_count: 4
% 0.13/0.42 in_neg_goal_count: 1
% 0.13/0.42 in_pos_goal_count: 3
% 0.13/0.42 in_posunit_goal_count: 3
% 0.13/0.42
% 0.13/0.42 auto guide:
% 0.13/0.42 -----------
% 0.13/0.42 {
% 0.13/0.42 "print":1,
% 0.13/0.42 "print_level": 15,
% 0.13/0.42 "max_size": 0,
% 0.13/0.42 "max_depth": 0,
% 0.13/0.42 "max_length": 0,
% 0.13/0.42 "max_dseconds": 0,
% 0.13/0.42 "runs":[
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.13/0.42 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.13/0.42 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":1},
% 0.13/0.42 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.13/0.42 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":1},
% 0.13/0.42 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.13/0.42 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":2},
% 0.13/0.42 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "rewrite":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "rewrite":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":2},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":3},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":30, "depth_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref", "posunitpara"], "query_preference":1, "max_depth":2, "depth_penalty":50, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "max_depth":1},
% 0.13/0.42 {"depth_penalty":50, "query_preference":2, "strategy":["negative_pref"], "max_dseconds":1},
% 0.13/0.42 {"max_depth":0, "length_penalty":100, "query_preference":2, "strategy":["hardness_pref", "posunitpara"], "max_dseconds":1},
% 0.13/0.42 {"weight_select_ratio":100, "query_preference":1, "strategy":["negative_pref"], "max_dseconds":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "max_depth":2},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit","prohibit_unordered_para"], "query_preference":0, "max_depth":6, "var_weight":1},
% 0.13/0.42 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["unit", "pure_unit"], "weight_select_ratio":1, "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.13/0.42 {"var_weight":70, "repeat_var_weight":70, "rewrite":0, "length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["hardness_pref", "max_weight"], "max_dseconds":1},
% 0.13/0.42 {"max_depth":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.13/0.42 {"depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["hardness_pref", "posunitpara"], "query_preference":0, "depth_penalty":50, "length_penalty":100},
% 0.13/0.42 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["hardness_pref"], "max_dseconds":1},
% 0.13/0.42 {"var_weight":70, "repeat_var_weight":70, "depth_penalty":50, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.13/0.42 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["positive_pref", "unit"], "max_dseconds":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "max_depth":2},
% 0.13/0.42 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref", "max_ground_weight"], "query_preference":0},
% 0.13/0.42 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.13/0.42 {"length_penalty":100, "depth_penalty":100, "query_preference":0, "strategy":["negative_pref", "hornpref", "max_weight","prohibit_unordered_para"], "max_dseconds":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus", "posunitpara"], "query_preference":1, "depth_penalty":50, "length_penalty":100},
% 0.13/0.42 {"depth_penalty":50, "query_preference":1, "strategy":["hardness_pref", "hornpref", "max_weight"], "max_dseconds":1},
% 0.13/0.42 {"rewrite":0, "depth_penalty":50, "query_preference":1, "strategy":["query_focus", "hornpref"], "max_dseconds":1},
% 0.13/0.42 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "length_penalty":100, "query_preference":1, "strategy":["query_focus", "prohibit_nested_para"], "max_dseconds":1},
% 0.13/0.42 {"query_preference":1, "strategy":["unit", "max_weight"], "max_dseconds":1},
% 0.13/0.42 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "weight_select_ratio":30, "depth_penalty":100, "length_penalty":100},
% 0.13/0.42 {"length_penalty":100, "query_preference":1, "strategy":["positive_pref", "posunitpara"], "max_dseconds":1},
% 0.13/0.42 {"weight_select_ratio":100, "rewrite":0, "depth_penalty":100, "query_preference":0, "strategy":["unit", "posunitpara"], "max_dseconds":1},
% 0.13/0.42
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "sine":5, "strategy":["negative_pref"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit","prohibit_unordered_para"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref","prohibit_nested_para","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["hardness_pref","prohibit_deep_para"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":4},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref", "prohibit_nested_para"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "depth_penalty":100},
% 0.13/0.42 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para","prohibit_unordered_para"], "query_preference":1, "reverse_clauselist":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "rewrite":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.13/0.42 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":0, "strategy":["query_focus", "posunitpara"], "max_dseconds":10},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "max_depth":2},
% 0.13/0.42 {"weight_select_ratio":100, "var_weight":70, "repeat_var_weight":70, "rewrite":0, "query_preference":1, "strategy":["query_focus", "max_weight"], "max_dseconds":10},
% 0.13/0.42 {"weight_select_ratio":100, "query_preference":0, "strategy":["negative_pref", "max_weight"], "max_dseconds":10},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "equality":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0, "reverse_clauselist":1},
% 0.13/0.42 {"var_weight":70, "repeat_var_weight":70, "query_preference":0, "strategy":["positive_pref"], "max_dseconds":10},
% 0.13/0.42 {"var_weight":70, "repeat_var_weight":70, "length_penalty":100, "depth_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "max_depth":4},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit", "prohibit_nested_para"], "query_preference":1, "reverse_clauselist":1, "max_size":17},
% 0.13/0.42 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "sine":5, "strategy":["hardness_pref", "posunitpara"], "query_preference":1},
% 0.13/0.42 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.13/0.42 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.13/0.42 {"max_dseconds":10, "strategy":["unit", "pure_unit"], "max_size":30, "max_depth":10, "max_weight":300, "weight_select_ratio":1, "rewrite":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.13/0.42 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":2},
% 0.13/0.42 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":1, "depth_penalty":50, "length_penalty":100},
% 0.13/0.42 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
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% 0.13/0.43 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "rewrite":0}
% 0.13/0.43
% 0.13/0.43 ]}
% 0.13/0.43
% 0.13/0.43
% 0.13/0.43 **** run 1 fork 0 starts with strategy
% 0.13/0.43 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.13/0.43
% 0.13/0.43 **** run 2 fork 1 starts with strategy
% 0.13/0.43 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.13/0.43
% 0.13/0.43 **** run 3 fork 2 starts with strategy
% 0.13/0.43 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.13/0.43
% 0.13/0.43 **** run 4 fork 3 starts with strategy
% 0.13/0.43 {"max_dseconds":1,"sine":5,"strategy":["negative_pref"],"query_preference":1}
% 0.13/0.43
% 0.13/0.43 **** run 5 fork 4 starts with strategy
% 0.13/0.43 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para"],"query_preference":0}
% 0.13/0.44
% 0.13/0.44 **** run 6 fork 5 starts with strategy
% 0.13/0.44 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":0}
% 0.13/0.44
% 0.13/0.44 **** run 7 fork 6 starts with strategy
% 0.13/0.44 {"max_dseconds":1,"strategy":["unit","prohibit_unordered_para"],"query_preference":1}
% 0.13/0.44
% 0.13/0.44 **** run 8 fork 7 starts with strategy
% 0.13/0.44 {"max_dseconds":1,"strategy":["unit","prohibit_nested_para","prohibit_deep_para","prohibit_unordered_para"],"query_preference":0}
% 0.13/0.44
% 0.13/0.44 fork 6: search finished without proof.
% 0.13/0.44
% 0.13/0.44 fork 5: search finished without proof.
% 0.13/0.45
% 0.13/0.45 fork 0: search finished without proof.
% 0.13/0.45
% 0.13/0.45 fork 7: search finished without proof.
% 0.13/0.46
% 0.13/0.46 fork 3: search finished without proof.
% 0.20/0.48
% 0.20/0.48 **** run 15 fork 6 starts with strategy
% 0.20/0.48 {"max_dseconds":1,"strategy":["negative_pref","prohibit_unordered_para","prohibit_deep_para"],"query_preference":0}
% 0.20/0.50
% 0.20/0.50
% 0.20/0.50 result: proof found
% 0.20/0.50 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.50 by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.50 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.50
% 0.20/0.50 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.50 fof('prove_t6_$sk', plain, (~greater(cardinality_at_time(efficient_producers,$sk2),zero) & (greater_or_equal($sk2,appear(efficient_producers,$sk1)) & (in_environment($sk1,$sk2) & environment($sk1)))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['prove_t6'])).
% 0.20/0.50 fof('prove_t6', conjecture, (! [E,T] : (((environment(E) & in_environment(E,T)) & greater_or_equal(T,appear(efficient_producers,E))) => greater(cardinality_at_time(efficient_producers,T),zero))),
% 0.20/0.50 input).
% 0.20/0.50 fof('mp_start_of_organizations_$sk', plain, ((number_of_organizations(X2,X1) = zero) | (~greater(appear(an_organisation,X2),X1) | (~in_environment(X2,X1) | ~environment(X2)))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['mp_start_of_organizations'])).
% 0.20/0.50 fof('mp_start_of_organizations', axiom, (! [E,T] : (((environment(E) & in_environment(E,T)) & greater(appear(an_organisation,E),T)) => (number_of_organizations(E,T) = zero))),
% 0.20/0.50 input).
% 0.20/0.50 fof('mp_environment_inequality_$sk', plain, ((greater(appear(an_organisation,X2),X1) | greater_or_equal(X1,appear(an_organisation,X2))) | (~in_environment(X2,X1) | ~environment(X2))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['mp_environment_inequality'])).
% 0.20/0.50 fof('mp_environment_inequality', axiom, (! [E,T] : ((environment(E) & in_environment(E,T)) => (greater_or_equal(T,appear(an_organisation,E)) | greater(appear(an_organisation,E),T)))),
% 0.20/0.50 input).
% 0.20/0.50 fof('mp_subpopulations_$sk', plain, ((subpopulation(efficient_producers,X2,X1) & subpopulation(first_movers,X2,X1)) | (~in_environment(X2,X1) | ~environment(X2))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['mp_subpopulations'])).
% 0.20/0.50 fof('mp_subpopulations', axiom, (! [E,T] : ((environment(E) & in_environment(E,T)) => (subpopulation(first_movers,E,T) & subpopulation(efficient_producers,E,T)))),
% 0.20/0.50 input).
% 0.20/0.50 fof('mp_no_members_$sk', plain, ((cardinality_at_time(X3,X2) = zero) | (~subpopulation(X3,X1,X2) | (~(number_of_organizations(X1,X2) = zero) | (~in_environment(X1,X2) | ~environment(X1))))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['mp_no_members'])).
% 0.20/0.50 fof('mp_no_members', axiom, (! [E,T,X] : ((((environment(E) & in_environment(E,T)) & (number_of_organizations(E,T) = zero)) & subpopulation(X,E,T)) => (cardinality_at_time(X,T) = zero))),
% 0.20/0.50 input).
% 0.20/0.50 fof('mp_previous_negative_growth_$sk', plain, ((greater(zero,growth_rate(efficient_producers,$sk4(X1,X2))) & (greater(X2,$sk4(X1,X2)) & (in_environment(X1,$sk4(X1,X2)) & greater($sk4(X1,X2),appear(efficient_producers,X1))))) | (~(cardinality_at_time(efficient_producers,X2) = zero) | (~greater_or_equal(X2,appear(efficient_producers,X1)) | ~environment(X1)))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['mp_previous_negative_growth'])).
% 0.20/0.50 fof('mp_previous_negative_growth', axiom, (! [E,T] : (((environment(E) & greater_or_equal(T,appear(efficient_producers,E))) & (cardinality_at_time(efficient_producers,T) = zero)) => (? [To] : (((greater(To,appear(efficient_producers,E)) & in_environment(E,To)) & greater(T,To)) & greater(zero,growth_rate(efficient_producers,To)))))),
% 0.20/0.50 input).
% 0.20/0.50 fof('mp_efficient_producers_exist_$sk', plain, ((greater(cardinality_at_time(efficient_producers,X2),zero) | (cardinality_at_time(efficient_producers,X2) = zero)) | (~in_environment(X1,X2) | ~environment(X1))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['mp_efficient_producers_exist'])).
% 0.20/0.50 fof('mp_efficient_producers_exist', axiom, (! [E,T] : ((environment(E) & in_environment(E,T)) => ((cardinality_at_time(efficient_producers,T) = zero) | greater(cardinality_at_time(efficient_producers,T),zero)))),
% 0.20/0.50 input).
% 0.20/0.50 fof('mp_empty_not_decreasing_$sk', plain, (~greater(zero,growth_rate(X2,X1)) | ~(cardinality_at_time(X2,X1) = zero)),
% 0.20/0.50 inference(negpush_and_skolemize,[],['mp_empty_not_decreasing'])).
% 0.20/0.50 fof('mp_empty_not_decreasing', axiom, (! [S,T] : ((cardinality_at_time(S,T) = zero) => ~greater(zero,growth_rate(S,T)))),
% 0.20/0.50 input).
% 0.20/0.50 fof('a3_$sk', plain, (((constant(resources(X2,X1)) | greater(equilibrium(X2),X1)) & (decreases(resources(X2,X1)) | ~greater(equilibrium(X2),X1))) | (~greater(number_of_organizations(X2,X1),zero) | (~in_environment(X2,X1) | ~environment(X2)))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['a3'])).
% 0.20/0.50 fof('a3', hypothesis, (! [E,T] : (((environment(E) & in_environment(E,T)) & greater(number_of_organizations(E,T),zero)) => ((greater(equilibrium(E),T) => decreases(resources(E,T))) & (~greater(equilibrium(E),T) => constant(resources(E,T)))))),
% 0.20/0.50 input).
% 0.20/0.50 fof('a1_$sk', plain, (greater(number_of_organizations(X2,X1),zero) | (~greater_or_equal(X1,appear(an_organisation,X2)) | (~in_environment(X2,X1) | ~environment(X2)))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['a1'])).
% 0.20/0.50 fof('a1', hypothesis, (! [E,T] : (((environment(E) & in_environment(E,T)) & greater_or_equal(T,appear(an_organisation,E))) => greater(number_of_organizations(E,T),zero))),
% 0.20/0.50 input).
% 0.20/0.50 fof('a6_$sk', plain, (((constant(number_of_organizations(X2,X1)) | ~constant(resources(X2,X1))) & (~decreases(number_of_organizations(X2,X1)) | ~decreases(resources(X2,X1)))) | (~in_environment(X2,X1) | ~environment(X2))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['a6'])).
% 0.20/0.50 fof('a6', hypothesis, (! [E,T] : ((environment(E) & in_environment(E,T)) => ((decreases(resources(E,T)) => ~decreases(number_of_organizations(E,T))) & (constant(resources(E,T)) => constant(number_of_organizations(E,T)))))),
% 0.20/0.50 input).
% 0.20/0.50 fof('mp_constant_not_decrease_$sk', plain, (~decreases(X1) | ~constant(X1)),
% 0.20/0.50 inference(negpush_and_skolemize,[],['mp_constant_not_decrease'])).
% 0.20/0.50 fof('mp_constant_not_decrease', axiom, (! [X] : (constant(X) => ~decreases(X))),
% 0.20/0.50 input).
% 0.20/0.50 fof('mp_non_decreasing_$sk', plain, ((~greater(zero,growth_rate($sk3(X1,X2),X2)) & (greater(cardinality_at_time($sk3(X1,X2),X2),zero) & subpopulation($sk3(X1,X2),X1,X2))) | (decreases(number_of_organizations(X1,X2)) | (~in_environment(X1,X2) | ~environment(X1)))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['mp_non_decreasing'])).
% 0.20/0.50 fof('mp_non_decreasing', axiom, (! [E,T] : (((environment(E) & in_environment(E,T)) & ~decreases(number_of_organizations(E,T))) => (? [X] : ((subpopulation(X,E,T) & greater(cardinality_at_time(X,T),zero)) & ~greater(zero,growth_rate(X,T)))))),
% 0.20/0.50 input).
% 0.20/0.50 fof('a9_$sk', plain, (((X3 = first_movers) | (X3 = efficient_producers)) | (~greater(cardinality_at_time(X3,X1),zero) | (~subpopulation(X3,X2,X1) | ~environment(X2)))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['a9'])).
% 0.20/0.50 fof('a9', hypothesis, (! [E,X,T] : (((environment(E) & subpopulation(X,E,T)) & greater(cardinality_at_time(X,T),zero)) => ((X = efficient_producers) | (X = first_movers)))),
% 0.20/0.50 input).
% 0.20/0.50 fof('a12_$sk', plain, (~greater(zero,growth_rate(X4,X3)) | (~greater(resilience(X4),resilience(X1)) | (greater(zero,growth_rate(X1,X3)) | (~in_environment(X2,X3) | ~environment(X2))))),
% 0.20/0.50 inference(negpush_and_skolemize,[],['a12'])).
% 0.20/0.50 fof('a12', hypothesis, (! [E,S1,S2,T] : ((((environment(E) & in_environment(E,T)) & ~greater(zero,growth_rate(S1,T))) & greater(resilience(S2),resilience(S1))) => ~greater(zero,growth_rate(S2,T)))),
% 0.20/0.50 input).
% 0.20/0.50 fof('a2', hypothesis, greater(resilience(efficient_producers),resilience(first_movers)),
% 0.20/0.50 input).
% 0.20/0.50 cnf('1', plain, (environment($sk1)),
% 0.20/0.50 inference(cnf_transformation,[],['prove_t6_$sk'])).
% 0.20/0.50 cnf('2', plain, (~greater(appear(an_organisation,X),Y) | number_of_organizations(X,Y) = zero | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_start_of_organizations_$sk'])).
% 0.20/0.50 cnf('3', plain, (~greater(appear(an_organisation,$sk1),X) | number_of_organizations($sk1,X) = zero | ~in_environment($sk1,X)),
% 0.20/0.50 inference(resolution,[],['1','2'])).
% 0.20/0.50 cnf('4', plain, (greater(appear(an_organisation,X),Y) | greater_or_equal(Y,appear(an_organisation,X)) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_environment_inequality_$sk'])).
% 0.20/0.50 cnf('5', plain, (environment($sk1)),
% 0.20/0.50 inference(cnf_transformation,[],['prove_t6_$sk'])).
% 0.20/0.50 cnf('6', plain, (number_of_organizations($sk1,X) = zero | greater_or_equal(X,appear(an_organisation,$sk1)) | ~in_environment($sk1,X)),
% 0.20/0.50 inference(resolution,[then_simplify],['3','4','5'])).
% 0.20/0.50 cnf('7', plain, (subpopulation(efficient_producers,X,Y) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_subpopulations_$sk'])).
% 0.20/0.50 cnf('8', plain, (subpopulation(efficient_producers,$sk1,X) | ~in_environment($sk1,X)),
% 0.20/0.50 inference(resolution,[],['1','7'])).
% 0.20/0.50 cnf('9', plain, (number_of_organizations(X,Y) != zero | cardinality_at_time(Z,Y) = zero | ~subpopulation(Z,X,Y) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_no_members_$sk'])).
% 0.20/0.50 cnf('10', plain, (number_of_organizations($sk1,X) != zero | cardinality_at_time(efficient_producers,X) = zero | ~in_environment($sk1,X)),
% 0.20/0.50 inference(resolution,[then_simplify],['8','9','5'])).
% 0.20/0.50 cnf('11', plain, (cardinality_at_time(efficient_producers,X) = zero | greater_or_equal(X,appear(an_organisation,$sk1)) | ~in_environment($sk1,X)),
% 0.20/0.50 inference(resolution,[],['6','10'])).
% 0.20/0.50 cnf('12', plain, (greater_or_equal($sk2,appear(efficient_producers,$sk1))),
% 0.20/0.50 inference(cnf_transformation,[],['prove_t6_$sk'])).
% 0.20/0.50 cnf('13', plain, (greater(zero,growth_rate(efficient_producers,$sk4(X,Y))) | cardinality_at_time(efficient_producers,Y) != zero | ~greater_or_equal(Y,appear(efficient_producers,X)) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_previous_negative_growth_$sk'])).
% 0.20/0.50 cnf('14', plain, (in_environment($sk1,$sk2)),
% 0.20/0.50 inference(cnf_transformation,[],['prove_t6_$sk'])).
% 0.20/0.50 cnf('15', plain, (greater(cardinality_at_time(efficient_producers,X),zero) | cardinality_at_time(efficient_producers,X) = zero | ~in_environment(Y,X) | ~environment(Y)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_efficient_producers_exist_$sk'])).
% 0.20/0.50 cnf('16', plain, (~greater(cardinality_at_time(efficient_producers,$sk2),zero)),
% 0.20/0.50 inference(cnf_transformation,[],['prove_t6_$sk'])).
% 0.20/0.50 cnf('17', plain, (cardinality_at_time(efficient_producers,$sk2) = zero),
% 0.20/0.50 inference(resolution,[then_simplify],['14','15','16','5'])).
% 0.20/0.50 cnf('18', plain, (greater(zero,growth_rate(efficient_producers,$sk4($sk1,$sk2)))),
% 0.20/0.50 inference(resolution,[then_simplify],['12','13','17','5'])).
% 0.20/0.50 cnf('19', plain, (~greater(zero,growth_rate(X,Y)) | cardinality_at_time(X,Y) != zero),
% 0.20/0.50 inference(cnf_transformation,[],['mp_empty_not_decreasing_$sk'])).
% 0.20/0.50 cnf('20', plain, (cardinality_at_time(efficient_producers,$sk4($sk1,$sk2)) != zero),
% 0.20/0.50 inference(resolution,[],['18','19'])).
% 0.20/0.50 cnf('21', plain, (cardinality_at_time(efficient_producers,X) != zero | ~greater_or_equal(X,appear(efficient_producers,Y)) | in_environment(Y,$sk4(Y,X)) | ~environment(Y)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_previous_negative_growth_$sk'])).
% 0.20/0.50 cnf('22', plain, (in_environment($sk1,$sk4($sk1,$sk2))),
% 0.20/0.50 inference(resolution,[then_simplify],['12','21','17','5'])).
% 0.20/0.50 cnf('23', plain, (greater_or_equal($sk4($sk1,$sk2),appear(an_organisation,$sk1))),
% 0.20/0.50 inference(resolution,[then_simplify],['11','20','22'])).
% 0.20/0.50 cnf('24', plain, (~greater(number_of_organizations(X,Y),zero) | ~greater(equilibrium(X),Y) | decreases(resources(X,Y)) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['a3_$sk'])).
% 0.20/0.50 cnf('25', plain, (greater(number_of_organizations(X,Y),zero) | ~greater_or_equal(Y,appear(an_organisation,X)) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['a1_$sk'])).
% 0.20/0.50 cnf('26', plain, (~greater_or_equal(X,appear(an_organisation,Y)) | ~greater(equilibrium(Y),X) | decreases(resources(Y,X)) | ~in_environment(Y,X) | ~environment(Y)),
% 0.20/0.50 inference(resolution,[],['24','25'])).
% 0.20/0.50 cnf('27', plain, (~greater(equilibrium($sk1),$sk4($sk1,$sk2)) | decreases(resources($sk1,$sk4($sk1,$sk2)))),
% 0.20/0.50 inference(resolution,[then_simplify],['23','26','22','5'])).
% 0.20/0.50 cnf('28', plain, (~decreases(resources(X,Y)) | ~decreases(number_of_organizations(X,Y)) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['a6_$sk'])).
% 0.20/0.50 cnf('29', plain, (~decreases(number_of_organizations($sk1,$sk4($sk1,$sk2))) | ~greater(equilibrium($sk1),$sk4($sk1,$sk2))),
% 0.20/0.50 inference(resolution,[then_simplify],['27','28','22','5'])).
% 0.20/0.50 cnf('30', plain, (~greater(number_of_organizations(X,Y),zero) | greater(equilibrium(X),Y) | constant(resources(X,Y)) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['a3_$sk'])).
% 0.20/0.50 cnf('31', plain, (~greater_or_equal(X,appear(an_organisation,Y)) | greater(equilibrium(Y),X) | constant(resources(Y,X)) | ~in_environment(Y,X) | ~environment(Y)),
% 0.20/0.50 inference(resolution,[],['30','25'])).
% 0.20/0.50 cnf('32', plain, (constant(resources($sk1,$sk4($sk1,$sk2))) | greater(equilibrium($sk1),$sk4($sk1,$sk2))),
% 0.20/0.50 inference(resolution,[then_simplify],['23','31','22','5'])).
% 0.20/0.50 cnf('33', plain, (~constant(resources(X,Y)) | constant(number_of_organizations(X,Y)) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['a6_$sk'])).
% 0.20/0.50 cnf('34', plain, (constant(number_of_organizations($sk1,$sk4($sk1,$sk2))) | greater(equilibrium($sk1),$sk4($sk1,$sk2))),
% 0.20/0.50 inference(resolution,[then_simplify],['32','33','22','5'])).
% 0.20/0.50 cnf('35', plain, (~constant(X) | ~decreases(X)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_constant_not_decrease_$sk'])).
% 0.20/0.50 cnf('36', plain, (greater(equilibrium($sk1),$sk4($sk1,$sk2)) | ~decreases(number_of_organizations($sk1,$sk4($sk1,$sk2)))),
% 0.20/0.50 inference(resolution,[],['34','35'])).
% 0.20/0.50 cnf('37', plain, (~decreases(number_of_organizations($sk1,$sk4($sk1,$sk2)))),
% 0.20/0.50 inference(simplify,[],['29','36'])).
% 0.20/0.50 cnf('38', plain, (subpopulation($sk3(X,Y),X,Y) | decreases(number_of_organizations(X,Y)) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_non_decreasing_$sk'])).
% 0.20/0.50 cnf('39', plain, (subpopulation($sk3($sk1,$sk4($sk1,$sk2)),$sk1,$sk4($sk1,$sk2))),
% 0.20/0.50 inference(resolution,[then_simplify],['37','38','22','5'])).
% 0.20/0.50 cnf('40', plain, (~greater(cardinality_at_time(X,Y),zero) | ~subpopulation(X,Z,Y) | X = first_movers | X = efficient_producers | ~environment(Z)),
% 0.20/0.50 inference(cnf_transformation,[],['a9_$sk'])).
% 0.20/0.50 cnf('41', plain, (greater(zero,growth_rate(X,$sk4($sk1,$sk2))) | ~greater(cardinality_at_time(X,Y),zero) | ~subpopulation(X,Z,Y) | X = first_movers | ~environment(Z)),
% 0.20/0.50 inference(paramodulation,[],['40','18'])).
% 0.20/0.50 cnf('42', plain, (~greater(zero,growth_rate($sk3(X,Y),Y)) | decreases(number_of_organizations(X,Y)) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_non_decreasing_$sk'])).
% 0.20/0.50 cnf('43', plain, (~greater(zero,growth_rate($sk3($sk1,$sk4($sk1,$sk2)),$sk4($sk1,$sk2)))),
% 0.20/0.50 inference(resolution,[then_simplify],['37','42','22','5'])).
% 0.20/0.50 cnf('44', plain, (greater(cardinality_at_time($sk3(X,Y),Y),zero) | decreases(number_of_organizations(X,Y)) | ~in_environment(X,Y) | ~environment(X)),
% 0.20/0.50 inference(cnf_transformation,[],['mp_non_decreasing_$sk'])).
% 0.20/0.50 cnf('45', plain, (greater(cardinality_at_time($sk3($sk1,$sk4($sk1,$sk2)),$sk4($sk1,$sk2)),zero)),
% 0.20/0.50 inference(resolution,[then_simplify],['37','44','22','5'])).
% 0.20/0.50 cnf('46', plain, ($sk3($sk1,$sk4($sk1,$sk2)) = first_movers),
% 0.20/0.50 inference(resolution,[then_simplify],['39','41','43','45','5'])).
% 0.20/0.50 cnf('47', plain, (~greater(zero,growth_rate($sk3($sk1,$sk4($sk1,$sk2)),$sk4($sk1,$sk2)))),
% 0.20/0.50 inference(resolution,[then_simplify],['37','42','22','5'])).
% 0.20/0.50 cnf('48', plain, (~greater(zero,growth_rate(first_movers,$sk4($sk1,$sk2)))),
% 0.20/0.50 inference(paramodulation,[],['46','47'])).
% 0.20/0.50 cnf('49', plain, (~greater(zero,growth_rate(X,Y)) | greater(zero,growth_rate(Z,Y)) | ~greater(resilience(X),resilience(Z)) | ~in_environment(U,Y) | ~environment(U)),
% 0.20/0.50 inference(cnf_transformation,[],['a12_$sk'])).
% 0.20/0.50 cnf('50', plain, (greater(zero,growth_rate(X,$sk4($sk1,$sk2))) | ~greater(resilience(efficient_producers),resilience(X)) | ~in_environment(Y,$sk4($sk1,$sk2)) | ~environment(Y)),
% 0.20/0.50 inference(resolution,[],['49','18'])).
% 0.20/0.50 cnf('51', plain, (greater(resilience(efficient_producers),resilience(first_movers))),
% 0.20/0.50 inference(cnf_transformation,[],['a2'])).
% 0.20/0.50 cnf('52', plain, (~in_environment(X,$sk4($sk1,$sk2)) | ~environment(X)),
% 0.20/0.50 inference(resolution,[then_simplify],['48','50','51'])).
% 0.20/0.50 cnf('53', plain, (cardinality_at_time(efficient_producers,$sk2) = zero),
% 0.20/0.50 inference(resolution,[then_simplify],['14','15','16','5'])).
% 0.20/0.50 cnf('54', plain, (~greater_or_equal($sk2,appear(efficient_producers,X)) | in_environment(X,$sk4(X,$sk2)) | ~environment(X)),
% 0.20/0.50 inference(resolution,[],['53','21'])).
% 0.20/0.50 cnf('55', plain, (greater_or_equal($sk2,appear(efficient_producers,$sk1))),
% 0.20/0.50 inference(cnf_transformation,[],['prove_t6_$sk'])).
% 0.20/0.50 cnf('56', plain, ($false),
% 0.20/0.50 inference(resolution,[then_simplify],['52','54','5','55'])).
% 0.20/0.50
% 0.20/0.50 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.20/0.50
% 0.20/0.50 run 2 fork 1 statistics:
% 0.20/0.50 ----------------------------------
% 0.20/0.50 this run seconds: 0.069001
% 0.20/0.50 total seconds: 0.071960
% 0.20/0.50 stat_given_used: 197
% 0.20/0.50 stat_given_used_at_endgame: 0
% 0.20/0.50 stat_given_candidates: 500
% 0.20/0.50 stat_given_candidates_at_endgame: 0
% 0.20/0.50 stat_given_candidates_h: 0
% 0.20/0.50 stat_binres_derived_cl: 955
% 0.20/0.50 stat_binres_derived_cl_h: 0
% 0.20/0.50 stat_factor_derived_cl: 3
% 0.20/0.50 stat_para_derived_cl: 4704
% 0.20/0.50 stat_tautologies_discarded: 89
% 0.20/0.50 stat_forward_subsumed: 715
% 0.20/0.50 stat_derived_cut: 916
% 0.20/0.50 stat_derived_rewritten: 0
% 0.20/0.50 stat_weight_discarded_building: 0
% 0.20/0.50 stat_weight_discarded_cl: 712
% 0.20/0.50 stat_internlimit_discarded_cl: 0
% 0.20/0.50 stat_simplified: 2 simplified 0 derived 0 given
% 0.20/0.50 stat_kept_cl: 3779
% 0.20/0.50 stat_built_cl: 4917
% 0.20/0.50 stat_hyperres_partial_cl: 0
% 0.20/0.50 stat_made_rewriters: 0
% 0.20/0.50 stat_backward_subsumed: 0
% 0.20/0.50 stat_propagated_subsumed: 0
% 0.20/0.50 stat_clsubs_attempted: 520
% 0.20/0.50 stat_clsubs_fact_groundunit_found: 4
% 0.20/0.50 stat_clsubs_rule_groundunit_found: 5
% 0.20/0.50 stat_clsubs_top_meta_attempted: 38116
% 0.20/0.50 stat_clsubs_top_meta_failed: 37596
% 0.20/0.50 stat_clsubs_top_meta_nonpref_attempted: 38116
% 0.20/0.50 stat_clsubs_top_meta_nonpref_succeeded: 6065
% 0.20/0.50 stat_clsubs_top_meta_pref_attempted: 6065
% 0.20/0.50 stat_clsubs_top_meta_pref1_succeeded: 1270
% 0.20/0.50 stat_clsubs_top_meta_pref2_succeeded: 609
% 0.20/0.50 stat_clsubs_top_meta_pref3_succeeded: 520
% 0.20/0.50 stat_clsubs_top_meta_pref_succeeded: 520
% 0.20/0.50 stat_clsubs_meta_attempted: 1793
% 0.20/0.50 stat_clsubs_meta_failed: 532
% 0.20/0.50 stat_clsubs_predsymbs_attempted: 0
% 0.20/0.50 stat_clsubs_unit_attempted: 0
% 0.20/0.50 stat_clsubs_full_attempted: 520
% 0.20/0.50 stat_forwardsubs_attempted: 5207
% 0.20/0.50 stat_lit_hash_added: 754
% 0.20/0.50 stat_lit_hash_computed: 41048
% 0.20/0.50 stat_lit_hash_match_found: 2247
% 0.20/0.50 stat_lit_hash_match_miss: 70559
% 0.20/0.50 stat_lit_hash_cut_ok: 1522
% 0.20/0.50 stat_lit_strong_cut_ok: 0
% 0.20/0.50 stat_lit_hash_subsume_ok: 715
% 0.20/0.50 clqueue els 10000000 used 1
% 0.20/0.50 clactive els 10000000 used 213
% 0.20/0.50 clactivesubsume els 10000000 used 1057
% 0.20/0.50 queue_termbuf els 200000000 used 378619
% 0.20/0.50 hyper_termbuf els 100000000 used 1
% 0.20/0.50 active_termbuf els 100000000 used 11044
% 0.20/0.50 varstack els 5000 last used 1
% 0.20/0.50 given_termbuf els 10000000 last used 1
% 0.20/0.50 simplified_termbuf els 10000000 last used 1
% 0.20/0.50 derived_termbuf els 10000000 last used 46
% 0.20/0.50 wr_mallocs: 3940
% 0.20/0.50 wr_callocs: 21
% 0.20/0.50 wr_reallocs: 313
% 0.20/0.50 wr_frees: 2
% 0.20/0.50 wr_malloc_bytes: 4162720052
% 0.20/0.50 wr_calloc_bytes: 112065536
% 0.20/0.50 wr_realloc_bytes: 74352
% 0.20/0.50 wr_realloc_freebytes: 0
% 0.20/0.50 ----------------------------------
%------------------------------------------------------------------------------